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Image denoising based on Haar wavelet transform

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1 Author(s)
Yang Qiang ; Sch. of Comput. & Inf. Eng., Yibin Univ., Yibin, China

Wavelet transform has widely applied in image denoising, and how to select the threshold is the key to wavelet image denoising. The paper put forward the algorithm for image denoising based on harr wavelet transform. First, The image with noise is decomposed by Haar wavelet transform, then select the soft threshold to clean the image noise. Experiments show that the algorithm can reduce image noise effectively and improve the detail effect of picture and raise the PSNR value of image.

Published in:

Electronics and Optoelectronics (ICEOE), 2011 International Conference on  (Volume:3 )

Date of Conference:

29-31 July 2011